DocumentCode
752857
Title
Through-Wall Imaging of Moving Targets Using UWB Random Noise Radar
Author
Wang, Hong ; Narayanan, Ram M. ; Zhou, Zheng Ou
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
8
fYear
2009
fDate
7/1/1905 12:00:00 AM
Firstpage
802
Lastpage
805
Abstract
For a through-wall ultrawideband (UWB) random noise radar using array antennas, subtraction of successive frames of the cross-correlation signals between each received element signal and the transmitted signal is able to isolate moving targets in heavy clutter. Images of moving targets are subsequently obtained using the back projection (BP) algorithm. This technique is not constrained to noise radar, but can also be applied to other kinds of radar systems. Different models based on the finite-difference time-domain (FDTD) algorithm are set up to simulate different through-wall scenarios of moving targets. Simulation results show that the heavy clutter is suppressed, and the signal-to-clutter ratio (SCR) is greatly enhanced using this approach. Multiple moving targets can be detected, localized, and tracked for any random movement.
Keywords
correlation methods; finite difference time-domain analysis; image motion analysis; radar antennas; radar clutter; radar detection; radar imaging; radar tracking; random noise; target tracking; ultra wideband antennas; ultra wideband radar; FDTD algorithm; UWB random noise radar; array antennas; back projection algorithm; cross-correlation signal; finite-difference time-domain; multiple moving target tracking; radar clutter suppression; radar detection; random movement; signal-to-clutter ratio; successive frame subtraction; through-wall imaging; Back projection (BP) algorithm; cross-correlation; moving targets; signal-to-clutter ratio (SCR); ultrawideband (UWB) random noise radar;
fLanguage
English
Journal_Title
Antennas and Wireless Propagation Letters, IEEE
Publisher
ieee
ISSN
1536-1225
Type
jour
DOI
10.1109/LAWP.2009.2021586
Filename
4840436
Link To Document